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Steil JJ.  2005.  Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. LNCS. 3697:649–654.
Steil JJ.  2004.  Neural Dynamics for Task-Oriented Grouping of Communicating Agents. Proc. European Symposium Artificial Neural Networks. :531–536.
Steil JJ, Ritter H.  1999.  Recurrent Learning of Input-Output Stable Behaviour in Function Space: A Case Study with the Roessler Attractor. Proc. Int. Conf. Artificial Neural Networks. :761–766.
Steil JJ, Emmerich C, Swadzba A, Grünberg R, Nordmann A, Wrede S.  2013.  Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces. Gearing Up and Accelerating Cross-Fertilization between Academic and Industrial Robotics Research in Europe. 94:107–127.
Steil JJ, Maier GW.  2017.  Robots in the digitalized workplace. The Wiley Blackwell Handbook of the Psychology of the Internet at Work. :403-422.
Steil JJ, Bullinger-Hoffmann A, André E.  2023.  Mit KI zu mehr Teilhabe in der Arbeitswelt: Potenziale, Einsatzmöglichkeiten und Herausforderungen.
Steil JJ.  2004.  Backpropagation-Decorrelation: online recurrent learning with O(N) complexity. Proc. Int. Joint Conference Neural Networks. 1:843–848.
Steil JJ.  2000.  Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.
Steil JJ.  2011.  What do humanoid robots offer to experimental psychology ? Connectionist models of neurocognition and emergent behavior : from theory to applications ; proceedings of the 12th Neural Computation and Psychology Workshop, Birkbeck, University of London, 8 - 10 April 2010. 20:361–371.
Steil JJ.  2006.  Online stability of backpropagation-decorrelation recurrent learning. Neurocomputing. 69:642–650.
Steil JJ.  2021.  "Können Maschinen Ethisches Verhalten Lernen ?" Bericht zum 1. SYnENZ Zirkel der BWG Kommission für Synergie und Intelligenz (SYnENZ) Jahrbuch der Braunschweigischen Wissenschaftlichen Gesellschaft. :117-120.
Steil JJ, Ritter H.  1998.  Input-Output Stability of Recurrent Neural Networks with Delays using Circle Criteria. Proc. Int. ICSC/IFAC Symposium on Neural Computation. :519–525.
Steil JJ, Röthling F, Haschke R, Ritter H.  2004.  Situated robot learning for multi-modal instruction and imitation of grasping. Robotics and Autonomous Systems. 47:129–141.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2011.  Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2010.  Neural competition for motion segmentation. 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). :59–64.
Stahs T., Wahl F..  1989.  Three-Dimensional Range Acquisition of Line-Like Objects. Proceedings of the 3rd International Conference of Image Processingand its Applications University of Warwick, UK. :14-18.
Stahs T., Wahl F..  1992.  Fast and Versatile Range Data Acquisition in a Robot Work Cell. IEEE International Conference on Intelligent Robots and Systems. :1169–1174.
Stahs T..  1988.  Automatisierung mit Industrierobotern. :257-270.
Stahs T., Wahl F..  1989.  Polyhedral Object Recognition by Hough Space Analysis. Geobild. 51:165-172.
Stahs T., Wahl F..  1992.  Recognition of Polyhedral Objects under Perspective View. Computers and Artificial Intelligence. 11:155–172.
Stahs T., Wahl F..  1993.  Objekterkennung und Lagebestimmung mit einem 3D-Robotersensor. Tagungsband des 3. Symposiums Bildverarbeitung der Technischen Akademie Esslingen.
Stahs T., Wahl F..  1990.  Fast and Robust Range Data Acquisition in a Low-Cost Environment. Proceedings der ISPRS Commission V Konferenz Close Range Photogrammetry Meets Machine Vision, Zürich. :496-503.
Stahs T..  1995.  Ein aktives 3D-Robotersensorensystem auf der Grundlage eines verallgemeinerten Ansatzes zur Erstellung modellbasierter Objekterkennungsverfahren. Berichte aus der Automatisierungstechnik.
Stahs T., Wahl F..  1990.  Oberflächenvermessung mit einem 3D-Robotsensor. Zeitschrift für Photogrammetrie und Fererkundung (ZPF). :190-202.
Stahs T., Wahl F..  1992.  Object Recognition and Pose Estimation with a Fast and Versatile 3D Robot Sensor. Proceedings of the 11th International Conference on Pattern Recognition. :684–687.